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Revisiting Temporal Blocking Stencil Optimizations., , , , , , и . ICS, стр. 251-263. ACM, (2023)A Study of Single and Multi-device Synchronization Methods in Nvidia GPUs., , , и . IPDPS, стр. 483-493. IEEE, (2020)PERKS: a Locality-Optimized Execution Model for Iterative Memory-bound GPU Applications., , , , , , и . ICS, стр. 167-179. ACM, (2023)CloudGT: A High Performance Genome Analysis Toolkit Leveraging Pipeline Optimization on Spark., , , , и . BIBM, стр. 1343-1350. IEEE Computer Society, (2018)Inferring Restricted Regular Expressions with Interleaving from Positive and Negative Samples., , , , и . PAKDD (2), том 12085 из Lecture Notes in Computer Science, стр. 769-781. Springer, (2020)An effective algorithm for learning single occurrence regular expressions with interleaving., , , и . IDEAS, стр. 24:1-24:10. ACM, (2019)Matrix Engines for High Performance Computing: A Paragon of Performance or Grasping at Straws?, , , , , , , , , и 1 other автор(ы). IPDPS, стр. 1056-1065. IEEE, (2021)At the Locus of Performance: Quantifying the Effects of Copious 3D-Stacked Cache on HPC Workloads., , , , , , , , , и 2 other автор(ы). ACM Trans. Archit. Code Optim., 20 (4): 57:1-57:26 (декабря 2023)Scaling distributed deep learning workloads beyond the memory capacity with KARMA., , , , , , , и . SC, стр. 19. IEEE/ACM, (2020)Exploiting Scratchpad Memory for Deep Temporal Blocking: A case study for 2D Jacobian 5-point iterative stencil kernel (j2d5pt)., , , , , , и . GPGPU@PPoPP, стр. 34-35. ACM, (2023)